Abstract: A method, apparatus and computer instructions are provided to improve the push/pull workload management model with intelligent routing to effectively collect data from systems that consist of dynamic sub-systems. The invention improves the push/pull model of the referenced invention with intelligent request routing to solve the above problem. An API is exposed in the workload manager enabling its request router to decline requests to route to idle sub-systems. This allows the monitoring agent to avoid sending a pull request to an idle sub-system. Each sub-system will push the data to the agent as it enters the idle state. The agent caches the data it receives from idle sub-systems and combines it with data it pulls from active and stopped sub-systems.

Abstract: A method of deploying enterprise applications or updates to data processing systems in a complex data processing environment. The enterprise applications or updates are phase deployed to the target data processing systems. Phased deployment includes the steps of preparing one affected node, quiescing all affected servers in the node, stopping all affected servers in the node, synchronizing the node, delivering the applications or updates, starting all affected servers, reactivating all affected servers, restoring the affected node, and repeating these steps for each affected node one at a time until all targeted data processing systems have been affected.

Abstract: A method of deploying enterprise applications or updates to data processing systems in a complex data processing environment. The enterprise applications or updates are phase deployed to the target data processing systems. Phased deployment includes the steps of preparing one affected node, quiescing all affected servers in the node, stopping all affected servers in the node, synchronizing the node, delivering the applications or updates, starting all affected servers, reactivating all affected servers, restoring the affected node, and repeating these steps for each affected node one at a time until all targeted data processing systems have been affected.

Abstract: A method of deploying enterprise applications or updates to data processing systems in a complex data processing environment. The enterprise applications or updates are phase deployed to the target data processing systems. Phased deployment includes the steps of preparing one affected node, quiescing all affected servers in the node, stopping all affected servers in the node, synchronizing the node, delivering the applications or updates, starting all affected servers, reactivating all affected servers, restoring the affected node, and repeating these steps for each affected node one at a time until all targeted data processing systems have been affected.